Statistical models of aircraft icing

Matthew Pocernich; Cory Wolff; Tressa Fowler

Statistical models of aircraft icing

Matthew Pocernich
, Cory Wolff
, Tressa Fowler

National Center for Atmospheric Research

Research output: Contribution to journal › Conference article › peer-review

Abstract

The statistical models applied by the NAtional Center for Atmospheric Research (NCAR) to improve the forecasts of icing conditions that threaten aircraft are discussed. The current icing potential (CIP) is an expert system model that uses observations and numerical weather prediction (NWP) output to infer information about cloud physics and behavior. Instrumentation on the aircraft collects information on the occurrence of icing, temperature and liquid water content. The CIP diagnosis was statistically post-processed and the models were created using both Pilot Reports (PIREP) and data from the research aircraft.

Original language	English
Pages (from-to)	3645-3652
Number of pages	8
Journal	Bulletin of the American Meteorological Society
State	Published - 2004
Externally published	Yes
Event	Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting - Seattle, WA., United States Duration: Jan 11 2004 → Jan 15 2004

Cite this

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title = "Statistical models of aircraft icing",

abstract = "The statistical models applied by the NAtional Center for Atmospheric Research (NCAR) to improve the forecasts of icing conditions that threaten aircraft are discussed. The current icing potential (CIP) is an expert system model that uses observations and numerical weather prediction (NWP) output to infer information about cloud physics and behavior. Instrumentation on the aircraft collects information on the occurrence of icing, temperature and liquid water content. The CIP diagnosis was statistically post-processed and the models were created using both Pilot Reports (PIREP) and data from the research aircraft.",

author = "Matthew Pocernich and Cory Wolff and Tressa Fowler",

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journal = "Bulletin of the American Meteorological Society",

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AU - Pocernich, Matthew

AU - Wolff, Cory

AU - Fowler, Tressa

PY - 2004

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N2 - The statistical models applied by the NAtional Center for Atmospheric Research (NCAR) to improve the forecasts of icing conditions that threaten aircraft are discussed. The current icing potential (CIP) is an expert system model that uses observations and numerical weather prediction (NWP) output to infer information about cloud physics and behavior. Instrumentation on the aircraft collects information on the occurrence of icing, temperature and liquid water content. The CIP diagnosis was statistically post-processed and the models were created using both Pilot Reports (PIREP) and data from the research aircraft.

AB - The statistical models applied by the NAtional Center for Atmospheric Research (NCAR) to improve the forecasts of icing conditions that threaten aircraft are discussed. The current icing potential (CIP) is an expert system model that uses observations and numerical weather prediction (NWP) output to infer information about cloud physics and behavior. Instrumentation on the aircraft collects information on the occurrence of icing, temperature and liquid water content. The CIP diagnosis was statistically post-processed and the models were created using both Pilot Reports (PIREP) and data from the research aircraft.

UR - https://www.scopus.com/pages/publications/2442499240

M3 - Conference article

AN - SCOPUS:2442499240

SN - 0003-0007

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JO - Bulletin of the American Meteorological Society

JF - Bulletin of the American Meteorological Society

T2 - Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting

Y2 - 11 January 2004 through 15 January 2004

ER -

Statistical models of aircraft icing

Abstract

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